The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-01-01"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "83963772 (up from 83424446 yesterday: 0.65 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1827540 (up from 1818116 yesterday: 0.52 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12789698

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 20128693 160606 0.80 4195273 347788 2051 0.59 1.73
India 10286709 20035 0.20 459934 148994 256 0.17 1.45
Brazil 7700578 24605 0.32 864351 195411 462 0.24 2.54
Russia 3153960 26613 0.85 579641 56798 527 0.94 1.80
France 2697014 19348 0.72 289935 64892 133 0.21 2.41
United Kingdom 2549689 53458 2.14 735294 74237 615 0.84 2.91
Turkey 2220855 12203 0.55 440182 21093 212 1.02 0.95
Italy 2129376 22210 1.05 323503 74621 462 0.62 3.50
Spain 1928265 0 0.00 197690 50837 0 0.00 2.64
Germany 1762637 2117 0.12 448328 34145 354 1.05 1.94
Colombia 1654880 12105 0.74 245971 43495 282 0.65 2.63
Argentina 1629594 4080 0.25 140266 43319 74 0.17 2.66
Mexico 1437185 11091 0.78 207806 126507 700 0.56 8.80
Poland 1305774 10896 0.84 190573 28956 402 1.41 2.22
Iran 1231429 6287 0.51 139022 55337 114 0.21 4.49
Ukraine 1096855 9858 0.91 201235 19437 156 0.81 1.77
South Africa 1073887 16726 1.58 228804 28887 418 1.47 2.69
Peru 1015137 0 0.00 36026 37680 0 0.00 3.71
Netherlands 816616 8234 1.02 212164 11624 99 0.86 1.42
Indonesia 751270 8072 1.09 146027 22329 191 0.86 2.97
Czechia 732022 13361 1.86 162817 11711 131 1.13 1.60
Belgium 648289 1793 0.28 47892 19581 53 0.27 3.02
Romania 636201 3938 0.62 90634 15841 74 0.47 2.49
Chile 612564 3591 0.59 44590 16660 52 0.31 2.72
Iraq 596193 902 0.15 23593 12824 11 0.09 2.15
Canada 585400 991 0.17 132857 15644 12 0.08 2.67
Bangladesh 514500 990 0.19 26651 7576 17 0.22 1.47
Pakistan 484362 2184 0.45 49306 10258 82 0.81 2.12
Philippines 475820 1756 0.37 28781 9248 4 0.04 1.94
Switzerland 452296 0 0.00 78465 7704 59 0.77 1.70
Morocco 440970 1777 0.40 46406 7425 37 0.50 1.68
Sweden 437379 0 0.00 117281 8727 0 0.00 2.00
Israel 428510 5248 1.24 75241 3356 31 0.93 0.78
Portugal 420629 6951 1.68 80342 6972 66 0.96 1.66
Austria 362911 2096 0.58 46330 6261 39 0.63 1.73
Saudi Arabia 362878 137 0.04 3295 6230 7 0.11 1.72
Serbia 339997 2074 0.61 84239 3250 39 1.21 0.96
Hungary 325278 2764 0.86 54078 9667 130 1.36 2.97
Jordan 295765 1271 0.43 40306 3851 17 0.44 1.30
Nepal 261019 426 0.16 14325 1864 8 0.43 0.71
Panama 249733 2943 1.19 61954 4064 42 1.04 1.63
Japan 239068 3257 1.38 63758 3342 50 1.52 1.40
Georgia 228410 990 0.44 45311 2528 23 0.92 1.11
Azerbaijan 219041 341 0.16 51886 2670 29 1.10 1.22
Ecuador 213378 866 0.41 12613 14051 17 0.12 6.59
Croatia 212007 1170 0.55 43619 3961 41 1.05 1.87
United Arab Emirates 209678 1856 0.89 27077 671 2 0.30 0.32
Bulgaria 202540 274 0.14 24875 7604 28 0.37 3.75
Kazakhstan 202060 864 0.43 17503 2765 4 0.14 1.37
Belarus 196223 1939 1.00 39864 1433 9 0.63 0.73
Slovakia 184508 4965 2.77 57421 2250 112 5.24 1.22
Lebanon 183888 2385 1.31 40183 1479 11 0.75 0.80
Dominican Republic 172218 1433 0.84 19766 2416 2 0.08 1.40
Costa Rica 169321 0 0.00 18374 2185 0 0.00 1.29
Denmark 166567 2451 1.49 62464 1322 24 1.85 0.79
Bolivia 160985 861 0.54 14288 9175 10 0.11 5.70
Armenia 159738 329 0.21 13421 2828 5 0.18 1.77
Kuwait 150869 285 0.19 5080 936 2 0.21 0.62
Moldova 145258 440 0.30 20994 3004 19 0.64 2.07
Qatar 144042 208 0.14 3362 245 0 0.00 0.17
Lithuania 143903 3324 2.36 56954 1589 131 8.98 1.10
Tunisia 140557 1417 1.02 31453 4730 54 1.15 3.37
Egypt 139471 1409 1.02 18860 7687 56 0.73 5.51
Greece 139447 597 0.43 16799 4881 43 0.89 3.50
West Bank and Gaza 139223 1219 0.88 32601 1418 18 1.29 1.02
Guatemala 138236 224 0.16 9695 4820 7 0.15 3.49
Oman 128867 0 0.00 3198 1499 0 0.00 1.16
Burma 125042 412 0.33 19179 2697 15 0.56 2.16
Ethiopia 124652 388 0.31 8870 1937 14 0.73 1.55
Slovenia 123950 1798 1.47 30213 2728 31 1.15 2.20
Honduras 122974 1147 0.94 9266 3160 30 0.96 2.57
Malaysia 115078 2068 1.83 34769 474 3 0.64 0.41
Venezuela 113884 326 0.29 7169 1030 2 0.19 0.90
Bosnia and Herzegovina 112143 1158 1.04 12600 4086 36 0.89 3.64
Paraguay 108349 417 0.39 16236 2262 0 0.00 2.09
Libya 100744 467 0.47 10864 1487 9 0.61 1.48

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2336201 45194 1.97 819986 26286 389 1.50 1.13 59126.03 665.26 1 in 17
Texas 1779595 13288 0.75 320180 28253 309 1.11 1.59 61374.06 974.38 1 in 16
Florida 1323315 0 0.00 216919 21673 0 0.00 1.64 61613.33 1009.09 1 in 16
New York 995816 17033 1.74 232588 38155 172 0.45 3.83 51189.39 1961.34 1 in 20
Illinois 963389 0 0.00 130438 17978 0 0.00 1.87 76026.09 1418.74 1 in 13
Ohio 700380 0 0.00 158171 8962 0 0.00 1.28 59917.36 766.70 1 in 17
Georgia 677589 11137 1.67 145996 10958 24 0.22 1.62 63818.59 1032.08 1 in 16
Pennsylvania 652091 6701 1.04 175842 16155 208 1.30 2.48 50936.69 1261.91 1 in 20
Tennessee 586802 0 0.00 150540 6907 0 0.00 1.18 85875.47 1010.80 1 in 12
North Carolina 539545 0 0.00 115922 6748 0 0.00 1.25 51443.62 643.40 1 in 19
Arizona 530267 10060 1.93 135755 9015 151 1.70 1.70 69635.52 1183.86 1 in 14
Michigan 528621 0 0.00 68275 13018 0 0.00 2.46 52931.67 1303.51 1 in 19
Wisconsin 522523 2085 0.40 61156 5254 12 0.23 1.01 89743.05 902.37 1 in 11
Indiana 517773 6288 1.23 105638 8371 108 1.31 1.62 76909.71 1243.42 1 in 13
New Jersey 482861 5501 1.15 92605 19160 118 0.62 3.97 54362.83 2157.13 1 in 18
Minnesota 415302 0 0.00 44334 5382 0 0.00 1.30 73639.91 954.32 1 in 14
Missouri 407477 4072 1.01 64065 5713 19 0.33 1.40 66392.14 930.85 1 in 15
Massachusetts 375178 0 0.00 94742 12423 0 0.00 3.31 53986.31 1787.61 1 in 19
Alabama 365747 4521 1.25 76972 4872 45 0.93 1.33 74593.76 993.64 1 in 13
Virginia 354766 5182 1.48 80328 5081 49 0.97 1.43 41563.49 595.28 1 in 24
Colorado 337161 3064 0.92 55488 4873 59 1.23 1.45 58547.74 846.19 1 in 17
Louisiana 315275 0 0.00 51084 7488 0 0.00 2.38 67818.66 1610.74 1 in 15
South Carolina 307507 0 0.00 62281 5296 0 0.00 1.72 59725.01 1028.61 1 in 17
Oklahoma 290936 0 0.00 61583 2489 0 0.00 0.86 73524.93 629.02 1 in 14
Iowa 282980 1268 0.45 29368 3898 7 0.18 1.38 89690.56 1235.47 1 in 11
Maryland 280219 3557 1.29 51748 5942 47 0.80 2.12 46350.29 982.85 1 in 22
Utah 276612 0 0.00 48483 1269 0 0.00 0.46 86280.61 395.83 1 in 12
Kentucky 265261 0 0.00 48142 2623 0 0.00 0.99 59373.41 587.11 1 in 17
Washington 246752 0 0.00 40464 3461 0 0.00 1.40 32403.87 454.50 1 in 31
Kansas 230303 4863 2.16 41985 2872 136 4.97 1.25 79051.90 985.82 1 in 13
Arkansas 229442 4304 1.91 47818 3711 35 0.95 1.62 76028.93 1229.69 1 in 13
Nevada 227046 2315 1.03 45736 3143 21 0.67 1.38 73712.50 1020.40 1 in 14
Mississippi 218386 2575 1.19 43104 4816 29 0.61 2.21 73378.72 1618.20 1 in 14
Connecticut 185708 0 0.00 38947 5995 0 0.00 3.23 52087.81 1681.49 1 in 19
Nebraska 167716 918 0.55 20839 1668 17 1.03 0.99 86701.46 862.28 1 in 12
New Mexico 144142 1278 0.89 27577 2502 25 1.01 1.74 68742.85 1193.23 1 in 15
Idaho 141077 0 0.00 21467 1436 0 0.00 1.02 78723.15 801.31 1 in 13
Oregon 113909 0 0.00 22489 1477 0 0.00 1.30 27007.14 350.19 1 in 37
South Dakota 99164 0 0.00 9492 1488 0 0.00 1.50 112092.91 1682.00 1 in 9
North Dakota 92770 275 0.30 5556 1309 17 1.32 1.41 121735.50 1717.71 1 in 8
Rhode Island 87949 0 0.00 17131 1777 0 0.00 2.02 83020.80 1677.43 1 in 12
West Virginia 87820 2486 2.91 27183 1361 23 1.72 1.55 49139.77 761.55 1 in 20
Montana 81555 0 0.00 9685 961 0 0.00 1.18 76306.77 899.16 1 in 13
Puerto Rico 77054 763 1.00 16052 1521 18 1.20 1.97 24126.92 476.25 1 in 41
Delaware 58064 608 1.06 14246 930 4 0.43 1.60 59628.41 955.06 1 in 17
Alaska 46986 0 0.00 7011 206 0 0.00 0.44 64228.45 281.60 1 in 16
Wyoming 44409 0 0.00 5624 438 0 0.00 0.99 76731.42 756.79 1 in 13
New Hampshire 44028 0 0.00 14568 759 0 0.00 1.72 32380.41 558.21 1 in 31
District of Columbia 29252 269 0.93 4895 788 2 0.25 2.69 41448.16 1116.54 1 in 24
Maine 24902 701 2.90 9696 352 5 1.44 1.41 18525.35 261.86 1 in 54
Hawaii 22022 277 1.27 2707 289 1 0.35 1.31 15553.67 204.11 1 in 64
Vermont 7412 0 0.00 1871 136 0 0.00 1.83 11878.41 217.95 1 in 84

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 33058311 2336201 7.07 6485968 819986 12.64 836660.4
2 Texas 13848790 1779595 12.85 2015650 320180 15.88 477612.3
3 Florida 15703599 1323315 8.43 2082033 216919 10.42 731157.1
4 New York 25504313 995816 3.90 3990195 232588 5.83 1311035.7
5 Illinois 13374665 963389 7.20 1788369 130438 7.29 1055465.1
6 Ohio 7752314 700380 9.03 980007 158171 16.14 663208.8
7 Georgia 5401054 677589 12.55 743855 145996 19.63 508697.3
8 Pennsylvania 3923244 652091 16.62 443700 175842 39.63 306455.8
9 Tennessee 5644058 586802 10.40 747305 150540 20.14 825979.0
10 North Carolina 6944103 539545 7.77 1064981 115922 10.88 662094.5
11 Arizona 2878868 530267 18.42 418047 135755 32.47 378057.6
12 Michigan 8113075 528621 6.52 827727 68275 8.25 812375.2
13 Wisconsin 5380828 522523 9.71 603284 61156 10.14 924154.4
14 Indiana 5730043 517773 9.04 911053 105638 11.60 851137.3
15 New Jersey 7792714 482861 6.20 1205702 92605 7.68 877341.5
16 Minnesota 5351379 415302 7.76 706174 44334 6.28 948888.0
17 Missouri 3665980 407477 11.12 373405 64065 17.16 597315.4
18 Massachusetts 10944699 375178 3.43 1567099 94742 6.05 1574889.5
19 Alabama 1885216 365747 19.40 188777 76972 40.77 384488.0
20 Virginia 4291320 354766 8.27 656828 80328 12.23 502760.3
21 Colorado 4444206 337161 7.59 752743 55488 7.37 771732.9
22 Louisiana 4214182 315275 7.48 474910 51084 10.76 906510.8
23 South Carolina 3173021 307507 9.69 521265 62281 11.95 616274.5
24 Oklahoma 2685254 290936 10.83 364535 61583 16.89 678613.5
25 Iowa 1174406 282980 24.10 58599 29368 50.12 372228.2
26 Maryland 5761534 280219 4.86 857382 51748 6.04 953000.2
27 Utah 2245303 276612 12.32 253514 48483 19.12 700353.2
28 Kentucky 3148606 265261 8.42 292179 48142 16.48 704753.0
29 Washington 3836820 246752 6.43 579982 40464 6.98 503857.4
30 Kansas 1012506 230303 22.75 121789 41985 34.47 347544.4
31 Arkansas 2051488 229442 11.18 223309 47818 21.41 679790.2
32 Nevada 2095778 227046 10.83 300345 45736 15.23 680412.9
33 Mississippi 1346044 218386 16.22 144462 43104 29.84 452277.1
34 Connecticut 4320693 185708 4.30 625602 38947 6.23 1211878.0
35 Nebraska 1755820 167716 9.55 231475 20839 9.00 907678.2
36 New Mexico 1983507 144142 7.27 276467 27577 9.97 945955.5
37 Idaho 545485 141077 25.86 46383 21467 46.28 304389.1
38 Oregon 2652670 113909 4.29 409899 22489 5.49 628932.1
39 South Dakota 372640 99164 26.61 24271 9492 39.11 421224.5
40 North Dakota 1277930 92770 7.26 120919 5556 4.59 1676937.1
41 Rhode Island 1974498 87949 4.45 256931 17131 6.67 1863857.6
42 West Virginia 1535487 87820 5.72 242247 27183 11.22 859183.4
43 Montana 791589 81555 10.30 79855 9685 12.13 740648.7
45 Delaware 984606 58064 5.90 165448 14246 8.61 1011134.1
46 Alaska 1275750 46986 3.68 152205 7011 4.61 1743911.9
47 Wyoming 501784 44409 8.85 64724 5624 8.69 866999.9
48 New Hampshire 1032929 44028 4.26 134444 14568 10.84 759668.1
49 District of Columbia 904302 29252 3.23 141556 4895 3.46 1281336.6
50 Maine 1111413 24902 2.24 139417 9696 6.95 826813.8
51 Hawaii 816811 22022 2.70 90375 2707 3.00 576896.1
52 Vermont 697705 7412 1.06 89293 1871 2.10 1118136.7

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4885034 481959 3056 0.64 9.87 3352 487 55312 25203 5.23
Veneto 3322582 258680 4805 1.89 7.79 2657 372 92582 6629 2.56
Piemonte 1688316 198886 1058 0.53 11.78 2784 184 26529 7960 4.00
Campania 2055822 191407 1734 0.91 9.31 1359 104 78328 2864 1.50
Emilia-Romagna 2583512 174141 2629 1.53 6.74 2643 231 56787 7808 4.48
Lazio 2721083 164964 1913 1.17 6.06 2752 305 76361 3792 2.30
Toscana 1893356 120917 589 0.49 6.39 810 143 9836 3700 3.06
Sicilia 1226629 94766 1122 1.20 7.73 1073 176 34347 2440 2.57
Puglia 1051359 92359 1395 1.53 8.78 1476 137 53913 2481 2.69
Liguria 714541 60881 412 0.68 8.52 664 63 5597 2898 4.76
Friuli Venezia Giulia 940153 50742 715 1.43 5.40 647 63 11753 1669 3.29
Marche 537533 42317 693 1.66 7.87 479 61 11739 1581 3.74
Abruzzo 519874 35723 410 1.16 6.87 435 38 11373 1218 3.41
Sardegna 485824 31478 365 1.17 6.48 479 42 16679 751 2.39
P.A. Bolzano 363649 29764 270 0.92 8.18 159 27 10793 742 2.49
Umbria 506256 29188 228 0.79 5.77 254 46 3804 625 2.14
Calabria 442569 24265 345 1.44 5.48 233 18 8863 479 1.97
P.A. Trento 453381 22033 193 0.88 4.86 362 39 1899 952 4.32
Basilicata 185256 10982 156 1.44 5.93 83 5 6141 256 2.33
Valle d’Aosta 62831 7290 17 0.23 11.60 75 1 408 381 5.23
Molise 116571 6634 106 1.62 5.69 46 11 1723 192 2.89

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 202641 0 0.00 8226 0 0.00 4.06 23734.92 963.49 1 in 42
Ontario 187344 989 0.53 4568 12 0.26 2.44 12734.24 310.50 1 in 79
Alberta 100428 0 0.00 1046 0 0.00 1.04 22756.56 237.02 1 in 44
British Columbia 51990 0 0.00 901 0 0.00 1.73 10172.34 176.29 1 in 98
Manitoba 24700 0 0.00 667 0 0.00 2.70 17930.81 484.20 1 in 56
Saskatchewan 15350 0 0.00 155 0 0.00 1.01 12990.13 131.17 1 in 77
Nova Scotia 1486 0 0.00 65 0 0.00 4.37 1520.27 66.50 1 in 658
New Brunswick 601 2 0.33 9 0 0.00 1.50 770.52 11.54 1 in 1298
Newfoundland and Labrador 390 0 0.00 4 0 0.00 1.03 748.04 7.67 1 in 1337
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 61518.01 1062.92 1 in 16
India 7682.38 111.27 1 in 130
Brazil 36792.06 933.64 1 in 27
Russia 21826.71 393.07 1 in 46
France 40259.95 968.68 1 in 25
United Kingdom 38375.81 1117.35 1 in 26
Turkey 27482.43 261.02 1 in 36
Italy 35207.94 1233.81 1 in 28
Spain 41325.87 1089.52 1 in 24
Germany 21290.46 412.43 1 in 47
Colombia 33724.88 886.39 1 in 30
Argentina 36810.35 978.52 1 in 27
Mexico 11123.72 979.16 1 in 90
Poland 34380.57 762.40 1 in 29
Iran 15172.86 681.83 1 in 66
Ukraine NA NA 1 in NA
South Africa 18933.13 509.29 1 in 53
Peru 31555.39 1171.28 1 in 32
Netherlands 47532.95 676.60 1 in 21
Indonesia 2845.72 84.58 1 in 351

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 790582 10552 1.33
Cook Illinois 393652 8285 2.10
Maricopa Arizona 325404 5196 1.60
Miami-Dade Florida 298873 4188 1.40
Harris Texas 239657 3417 1.43
San Bernardino California 199115 1445 0.73
Dallas Texas 193318 2033 1.05
Riverside California 184193 1985 1.08
Clark Nevada 171850 2384 1.39
Orange California 161586 1875 1.16
San Diego California 155595 1534 0.99
Tarrant Texas 150004 1446 0.96
Broward Florida 137610 1847 1.34
Queens New York 127132 7578 5.96
Kings New York 125467 7745 6.17
Bexar Texas 115685 1739 1.50
Salt Lake Utah 107386 553 0.51
El Paso Texas 98906 1700 1.72
Suffolk New York 97931 2311 2.36
Philadelphia Pennsylvania 93885 2450 2.61
Milwaukee Wisconsin 92090 1003 1.09
Nassau New York 89460 2401 2.68
Bronx New York 86505 5140 5.94
Hennepin Minnesota 86273 1382 1.60
Wayne Michigan 84941 3624 4.27
Franklin Ohio 84050 698 0.83
Palm Beach Florida 82890 1895 2.29
Hillsborough Florida 77118 1071 1.39
Orange Florida 76458 749 0.98
Middlesex Massachusetts 75615 2729 3.61
Santa Clara California 71755 747 1.04
Marion Indiana 71487 1156 1.62
Westchester New York 70614 1675 2.37
Pima Arizona 70563 1082 1.53
Cuyahoga Ohio 70137 897 1.28
St. Louis Missouri 69480 1391 2.00
Kern California 68969 512 0.74
Utah Utah 67250 215 0.32
Shelby Tennessee 66562 903 1.36
Fresno California 66442 711 1.07
Sacramento California 65817 857 1.30
King Washington 62580 1050 1.68
Mecklenburg North Carolina 62454 554 0.89
DuPage Illinois 61805 1030 1.67
New York New York 61676 3348 5.43
Davidson Tennessee 61497 570 0.93
Duval Florida 61321 725 1.18
Oakland Michigan 61195 1636 2.67
Providence Rhode Island 58946 1348 2.29
Gwinnett Georgia 58565 604 1.03
Essex Massachusetts 58429 1698 2.91
Oklahoma Oklahoma 57993 441 0.76
Fulton Georgia 57724 790 1.37
Fairfield Connecticut 56288 1720 3.06
Prince George’s Maryland 55139 1089 1.98
Suffolk Massachusetts 54556 1374 2.52
Allegheny Pennsylvania 54362 1036 1.91
Douglas Nebraska 53581 515 0.96
Jefferson Alabama 53058 719 1.36
Alameda California 52475 657 1.25
Will Illinois 52293 780 1.49
Hamilton Ohio 51821 417 0.80
Hidalgo Texas 51662 2201 4.26
Jefferson Kentucky 50804 530 1.04
Travis Texas 50595 549 1.09
Macomb Michigan 49473 1601 3.24
Collin Texas 49393 373 0.76
Lake Illinois 48300 818 1.69
Tulsa Oklahoma 48124 399 0.83
Denver Colorado 48023 669 1.39
Essex New Jersey 47699 2399 5.03
Bergen New Jersey 47570 2330 4.90
New Haven Connecticut 47375 1529 3.23
Montgomery Maryland 46717 1129 2.42
Hartford Connecticut 46680 1852 3.97
San Joaquin California 45764 651 1.42
Middlesex New Jersey 45268 1683 3.72
Cobb Georgia 45028 577 1.28
Pinellas Florida 44975 1049 2.33
Fairfax Virginia 44525 683 1.53
Hudson New Jersey 44505 1707 3.84
Wake North Carolina 44059 344 0.78
Kent Michigan 43274 543 1.25
Worcester Massachusetts 42595 1523 3.58
Lubbock Texas 42134 571 1.36
Erie New York 41988 1209 2.88
Polk Iowa 41670 412 0.99
El Paso Colorado 41556 567 1.36
Kane Illinois 41511 604 1.46
Bernalillo New Mexico 41121 573 1.39
Ventura California 40854 263 0.64
Contra Costa California 40697 335 0.82
Lee Florida 40635 672 1.65
Sedgwick Kansas 40608 406 1.00
Adams Colorado 40304 521 1.29
Lake Indiana 40230 609 1.51
Passaic New Jersey 40161 1460 3.64
Johnson Kansas 39696 454 1.14
Denton Texas 39182 352 0.90
Baltimore Maryland 39001 942 2.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc